Brief Bio

Ph.D student at KAIST, 2020 – present

MS student at UNIST, 2019 – 2020

BS in Computer Science and Engineering, and System Design and Business Administration from UNIST, 2018

 

 

 

Research Interest

Polysemantic neurons, neural network verification, representation learning, computer vision

Publication

[3] Youngju Joung, Sehyun Lee, and Jaesik Choi. ”Probing Network Decisions: Capturing Uncertainties and Unveiling Vulnerabilities without Label Information”. In: ICPRAI 2024.
[2] Lee, Byeongchan, and Sehyun Lee. ”Implicit contrastive representation learning with guided stop-gradient”. In: NeurIPS. 2024.
[1] Seongwoo Lim, Soonjae Kwon, Sehyun Lee, Jaesik Choi. ”UNIST SAIL System for TAC 2017 Cold Start Slot Filling”. In: TAC. 2017.

Working Experience

– Gauss Labs @ Seoul, Korea and Palo Alto, CA Dec 2021 – Aug 2022 as Applied Scientist Intern

– INEEJI @ Seongnam, Korea Aug 2020 – Feb 2021 as Machine learning researcher

Contact

sehyun.lee@kaist.ac.kr